Bidirectionality and Metaphor: An Introduction

Bidirectionality and Metaphor: An Introduction

Chanita Goodblatt Ben-Gurion University of the Negev, Department of Foreign Literatures and Linguistics Joseph Glicksohn Bar-Ilan University, Department of Criminology

Abstract The authors first present the interaction theory of metaphor, emphasizing its notion of bidirectionality. They then discuss the relationship between bidirectionality and blending, making explicit the different expectations regarding bidirectionality deriving from interaction theory and blending theory. With this as a suitable background for this special issue on bidirectionality in metaphor, the authors then provide a brief introduction to each of the essays that appear in the issue.

Keywords interaction theory, gestalt, blending, tension, cognition

The Interaction Theory of Metaphor It is not inconsequential that in developing his interaction theory of metaphor, Max Black uses the metaphor “man is a wolf,” a metaphor that is incompatible and even grotesque in its juxtaposition of man and animal. As we shall argue in our own essay in this issue, the grotesqueness of this Poetics Today 38:1 (February 2017) DOI 10.1215/03335372-3716189 q 2017 by Porter Institute for Poetics and Semiotics A preliminary version of this paper was presented at two venues: the research seminar held at Bar-Ilan University, in the Gonda Multidisciplinary Brain Research Center, entitled “The Creating Mind: Interdisciplinary Perspectives,” December, 2013; and at the third international conference on Cognitive Futures in the Humanities: Forging Futures from the Past, Worcester College, Oxford, April, 2015. We were supported by a Bar-Ilan University Faculty Research Grant, awarded to Joseph Glicksohn. Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 image is a key to understanding what we shall term a potential for “bidirectionality” in metaphor comprehension. Let us, however, develop this claim in stages. Max Black (1962: 41) writes: The effect … of (metaphorically) calling a man a “wolf ” is to evoke the wolfsystem of related commonplaces. If the man is a wolf, he preys upon other animals, is fierce, hungry, engaged in constant struggle, a scavenger, and so on. … The wolf-metaphor suppresses some details, emphasizes others — in short, organizes our view of man. … We can say that the principal subject is “seen through” the metaphorical expression — or, if we prefer, that the principal subject is “projected upon” the field of the subsidiary subject (emphasis original). If, at this preliminary stage, we look at the nominative “A is a B” metaphor, then following Black, we can attempt to visualize the process of metaphor comprehension (How is A a B?) by means of Figure 1. Much has been written on the analysis of such a nominative metaphor (e.g., Chiappe, Kennedy, and Chiappe 2003; Chiappe, Kennedy, and Smykowski 2003; Gentner et al. 2001; Glucksberg and Keysar 1990), yet little of it has explicitly adopted Black’s way of seeing the principal subject A (the tenor, Figure 1 Visualizing the process of metaphor comprehension 2 Poetics Today 38:1 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 topic, target, primary subject) through the lens of the subsidiary subject B (the vehicle, source, secondary subject), or of “project[ing]” A “upon” the field of B. We have tried to capture this projection in Figure 1. As A is seen through the lens of B, A becomes much more similar to B than it previously was. This is a process, and not a static comparison. As Roger Tourangeau and Robert Sternberg (1982: 212 – 13) write, “Interaction theorists argue that the vehicle of a metaphor is a template for seeing the tenor in a new way. … In Black’s view … interpretation involves not so much comparing tenor and vehicle for existing similarities, as construing them in a new way so as to create similarity between them.” Black (1962: 44) continues, “If to call a man a wolf is to put him in a special light, we must not forget that the metaphor makes the wolf seem more human than he otherwise would.” In our understanding, and again with reference to Figure 1, it is true that, in the first stage of comprehending “A is a B,” A becomes much more similar to B than it previously was. But now B is “projected upon” the field of A, which has already undergone transformation in the first stage. So we have a new A and a new B, and these two are in juxtaposition in stage 2 of the process. Again, to cite Tourangeau and Sternberg (1982: 214), “metaphors generally involve seeing something (men) in one domain in terms of something (wolves) in a second domain, with a resulting change in our view of both domains.” And as Raymond Gibbs (1994: 238) stresses, “the whole point of interactionism is that both terms affect the meaning of the other. The ‘seeing as’ often associated with metaphor is multidirectional. If man is seen as wolf, so too is wolf seen as man in ‘Man is a wolf’ (Black, 1979, emphasis original).” This, then, is the interaction theory of Max Black, which is actually a theory about the process of metaphor comprehension. There are various stages in this process: in the first, A is seen through the lens of B; in the second, B is seen through the lens of an already transformed A; in the third, a transformed A is now seen through the lens of a transformed B, as well as a transformed B being seen through the lens of a transformed A. Clearly, then, A and B are shifting percepts or concepts within a dynamic, interactive process. Bidirectionality is an integral part of this interactive process because, while A is seen through the lens of B, B is also seen through the lens of an already transformed A. As Bipin Indurkhya has noted, in “the interaction, the target is structured in terms of the source, as much as this can be done because the target has its own attributes, which constrain how it can be structured, so that the resulting organization is influenced both by the source and the target” (2006: 144). Goodblatt and Glicksohn † Bidirectionality and Metaphor 3 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 Is there a resolution to this iterative process of metaphor comprehension? To address this question, we turn to Heinz Werner and Bernard Kaplan (1963: 21 – 22) who write: Here we come to an important tenet of organismic theory of symbol formation: the act of denotative reference does not merely, or mainly, operate with already formed expressive similarities between entities. Through its productive nature, it brings to the fore latent expressive qualities in both vehicular material and referent that will allow the establishment of semantic correspondence between the two entities. It is precisely this productive nature of the denotative act that renders possible a symbolic relation between any entity and another. Such a possibility could never be realized if one were dealing with static entities, namely, the symbolic vehicle as an end product and the referent as a preformed “thing out there.” It is only realized because it rests on twin form-building processes, one directed towards the establishment of meaningful objects (referents), the other directed towards the articulation of patterns expressive of meaning (vehicles) (emphasis original). As they insist, this is a dynamic, interactive, developmental process. Indeed, we suggest that if this process of metaphor comprehension is developmental in nature, then in line with Werner’s exposition of a general principle of development (1978: 108 – 9), such development “proceeds from a state of relative globality and lack of differentiation to a state of increasing differentiation, articulation, and hierarchic integration.” Specifically, the process of metaphor comprehension entails the differentiation and articulation of two unidirectional readings, namely, A is seen through the lens of B, and/or B is seen through the lens of A or, as we suggest, of an already transformed A. In addition, there is the possibility of their integration (what Werner terms “hierarchic integration”) that results in a higher-order gestalt. Indeed, as we have previously argued, metaphor is a gestalt (Glicksohn and Goodblatt 1993)—to which we now add that the process of metaphor comprehension might eventually lead to a higher-order gestalt, wherein the bidirectional readings are integrated. This, we stress, is a goal that is not necessarily achieved by readers of a text when interpreting poetic metaphor. Bidirectionality and Blending At this critical point in our presentation, it is necessary to distinguish this concept of bidirectionality from that of blending. To do so, we will first elaborate on the history of those theories of metaphor that are relevant for a discussion of both interaction and blending theories. Max Black’s interaction theory was heavily influenced by Ivor A. Richards’s proposal that “when we use a metaphor we have two thoughts of different things active 4 Poetics Today 38:1 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 together and supported by a single word, or phrase, whose meaning is a resultant of their interaction” (1936: 93). Prior to Richards, there is a whole philosophical enterprise, including such scholars as Gustav Gerber (1820 – 1901), Philipp Wegener (1848 – 1916), Alfred Biese (1856 – 1930), and Karl Bu¨hler (1879 – 1963), paving the way for such a view of the interactive nature of metaphor (Nerlich and Clarke 2000, 2001). But it is Black (1962, 1979) who is credited with this notion of bidirectionality and of this explicit interaction theory. Yet George Lakoff and Mark Turner (1989: 131 – 32), in presenting their conceptual metaphor theory (CMT) as applied to poetic metaphor, were very thorough in their categorical dismissal of bidirectionality. They write: Unfortunately, this very real phenomenon has been analyzed incorrectly as follows: the target domain is described as “suffusing” the source domain, and it is claimed that the metaphor is bidirectional — from target to source as well as from source to target. Indeed, according to this theory, there is no source or target. There is only a connection across domains, with one concept seen through the filter of the other. Here’s what is wrong with such an analysis. When we understand that life is a journey we structure life in terms of a journey, and map onto the domain of life the inferential structure associated with journeys. But we do not map onto the domain of journeys the inferential structure associated with the domain of life. … We map one way only, from the source domain of journey onto the target domain of life. Yet even while interaction theory and its concept of bidirectionality is attacked, Black himself is not really mentioned; as Ray Jackendoff and David Aaron (1991: 322) note in their review of Lakoff and Turner’s book, “only in the appendix is Max Black cited as an adherent of this approach [interaction theory].” One plausible reason for ignoring Black is that he himself (1981) had reviewed the book Metaphors We Live By (1980), in which Lakoff and Mark Johnson first presented their conceptual metaphor theory, and was not forthcoming with praise. He writes, “Their exposition is endemically slipshod [and] the copious literature on metaphor is almost completely ignored” (1981: 210). Lakoff notes in an interview regarding his subsequent dismissal of Black, “I had read Black and I had no interest in what Black was doing. … What influenced me was the discovery that ordinary, everyday thought and language, and specially ordinary everyday thought, is structured metaphorically” (1998: 89). Subsequently, the line of scholarship developing prior to Richards (Nerlich and Clarke 2000, 2001) and then continuing from Richards and Black (Goodblatt and Glicksohn 2003, 2010) has been virtually sidestepped. CMT was Goodblatt and Glicksohn † Bidirectionality and Metaphor 5 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 presented as a new theory of metaphor, which dismisses the claims (or misunderstandings) of interaction theory (see, for example, Gibbs 1994: 238; Lakoff and Turner 1989: 133). CMT has itself been replaced by conceptual integration theory, or blending theory, wherein the interactive nature of metaphor has resurfaced as a “new” finding, demanding the modification of CMT, and indeed its evolution into blending theory. As Charles Forceville (2004: 86) notes in his review of this theory developed by Gilles Fauconnier and Mark Turner (2002), one of the alleged assets of blending theory that is repeatedly emphasized by Fauconnier and Turner is that it can explain emergent structure. Inasmuch as the blended space generates aspects of meaning that inheres in neither of the input spaces, conceptual integration yields something more than the sum of the component parts and hence clearly has a creative dimension. That is correct but, again, the notion of novel, emergent features has its roots in metaphor theory — not so much in the book on literary metaphor Turner himself coauthored with George Lakoff, More than Cool Reason (1989), but rather in Max Black’s “More about Metaphor” (1977/1979). Even now, this version of events is being revised, with Scarlet Marquette writing in a footnote that blending theory “is deeply indebted to Max Black, as well as to Black’s predecessors in the formulation of metaphor theory, I. A. Richards and Paul Ricoeur” (2007: 698). We propose that blending theory, with its emphasis on a process model for metaphor comprehension, has supplanted CMT, for essentially two reasons: the limitations of CMT’s concept of a unidirectional mapping, and the inability of CMT to convincingly address the emergent structure underlying poetic metaphor. As two of the major proponents of blending theory, Fauconnier and Turner (1998: 133 – 38) write: Conceptual integration — “blending” — is a general cognitive operation on a par with analogy, recursion, mental modeling, conceptual categorization, and framing. It serves a variety of cognitive purposes. It is dynamic, supple, and active in the moment of thinking. … In blending, structure from input mental spaces is projected to a separate, “blended” mental space. … The blend contains emergent structures not in the inputs. Furthermore, as elaborated by Joseph Grady, Todd Oakley, and Seana Coulson, “material is projected from both the source and target spaces to the blend. This arrangement contrasts with the simple, unidirectional projection posited by CMT, in which mappings are from source to target” (1999: 103). Thus, blending theory is quite sympathetic to the concept of bidirectionality. Even so, Lakoff (2014: 8), in discussing the recent work on bidirectionality in social cognition (Lee and Schwarz 2012), has recently cautioned 6 Poetics Today 38:1 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 that “bidirectionality of experimental effect may or may not mean bidirectionality of the metaphorical mapping.” Be that as it may, we propose that while blending theory—with its emphasis on emergent structure and, further, of bidirectionality—might well contrast with CMT, it still presents a different theoretical position to metaphor comprehension in comparison with interaction theory. For while blending theory predicts the complete fusion of the two domains, we rather predict a continued potentiality for— and tension among—possible readings (Goodblatt and Glicksohn 2016a, 2016b), as we address in the next section. Bidirectionality and Metaphor The first point to note concerns the tension between the primary subject and the secondary subject of the metaphor. As Eva Kittay (1987: 184) has stressed, if we want to preserve the tension, we cannot give an account of interaction which neutralizes all tension between vehicle and topic … Unless this tension is preserved, the “suppress[ion of ] some details” and emphasis of others does not really organize our view of man, for unless the categories of man and wolf remain distinct we cannot use one distinct entity — with its systematic interconnections — to reconceive the other (emphasis original). This is the same point stressed by Richards (1936)—there is an inherent tension between the tenor and the vehicle of the metaphor. In other words, there cannot in principle be a total fusion of the two concepts; hence their blending can only be a potential that is not usually realized. Ray Jackendoff and David Aaron (1991: 334), in their review of Lakoff and Turner (1989), provide their own take on this interactive nature of metaphor: What is the outcome of creating a relationship between the incommensurable source and target domains? [Lakoff and Turner] claim that it is an understanding of the target domain in terms of the source domain. We suspect there is more, something like a “fusion” or “superimposition” of the source and target domains. … This hypothesis sharply differentiates metaphor from simile, where the source and target domains are merely compared, not superimposed. … According to this approach, the mental representation evoked by a metaphor, as well as its affective power, are the result of superimposing the meaning of the source and target domains. Fine details of a source image that do not find precise correlates in the target domain still contribute to the meaning and affect of the composite. Hence the proliferation of image detail in poetic metaphor is motivated: it contributes to the richness of the interpretation. Their comments on the inherent tension between the two subjects of the metaphor should be highlighted. They continue: Goodblatt and Glicksohn † Bidirectionality and Metaphor 7 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 In addition, the superimposition operation itself has important effects. The most obvious is the affect contributed by using one entity as a symbol for another. … A second effect of the superimposition operation is the sense of tension conveyed by incongruously fusing two disparate domains. The interpreter seeks to resolve this tension by finding points of contact or structural similarity between the two domains, so that they become point-by-point more congruent — this is the mapping process described by [Lakoff and Turner]. Yet this in turn can lead to a third effect, the production of further tension, as the domains themselves are refocused and restructured in order to bring about greater congruence — this is the “interaction” described by Black (1979). … (1991: 335) The second point, one that was raised by Forceville, is that “the ‘oscillation’ between the subjects may go on and lead to further elaborations of the metaphor” (1996: 21). In other words, as we have stressed here, we are referring to a process of metaphor comprehension, wherein one unidirectional reading may move into a second unidirectional reading, without necessarily achieving some form of resolution of the problem of how to reconcile one reading with the other. It is interesting to consider how such “oscillation” presents itself with respect to “man is a wolf.” As part of our own research, presented in this issue (Goodblatt and Glicksohn 2016b), we asked our participants to consider this metaphor prior to the reading of a poetic text. Table 1 presents two protocols as examples of such readings. Reader S5.S1 presents a unidirectional reading of man as wolf, first looking at physical similarity, but then refers to the wolf as “someone” who is “predatory like a person is predatory.” Reader S4.S1 sees them as echoing each other, with the “dehumanizing of the man” echoing “the personification of the wolf.” This is a fine bidirectional reading of the metaphor, and it echoes Black’s insight that Table 1 Protocols for the metaphor “man is a wolf” Reader S5.S1 Reader S4.S1 Man as Wolf Man as Wolf/Wolf as Man If man is a wolf then maybe looking like a wolf? Hair of a wolf, the eyes the ears and maybe the character of a wolf? A wolf is someone, a predator, sneaky, suspicious, but also loving and caring … a wolf is part of something like a man is part of something … predatory like a person is predatory … man is like a wolf in his character, his personality, but also can be in the notion of the man as a wolf, in the social notion. Because I see them [man, wolf ], it’s like they echo each other. The dehumanizing of the man echoes the personification of the wolf. 8 Poetics Today 38:1 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 if “to call a man a wolf is to put him in a special light, we must not forget that the metaphor makes the wolf seem more human than he otherwise would” (1962: 44). We further claim that bidirectionality in a metaphor is sustained in two primary ways: a clash of sharp visual images and a use of the grotesque. If Gibbs (1994: 133) is correct in his assertion, that “imagery provides a means by which two previously dissimilar domains can be incorporated into one concept, because the task of comprehending metaphor presumably involves fusing two such domains,” then a clash of sharp visual images will prevent such fusion or blending. Furthermore, the emphasis here is on sharp because fuzzy images might be blended. The use of the grotesque, itself potentially involving such a clash of visual images (Harpham 1982: 11; Thomson 1972: 27), is a particularly interesting case, and we discuss this in our article in this special issue (Goodblatt and Glicksohn 2016b). This Special Issue on Bidirectionality The essays that we have commissioned for this special issue of Poetics Today bear on one or another aspect of bidirectionality in metaphor. We have ordered these essays such that a certain degree of balance is achieved both with respect to the disciplines represented and with respect to the claims made about bidirectionality in metaphor. In the first essay, the semiotician Marcel Danesi presents an overview of various theories of metaphor, suggesting that those implicating the interaction theory of metaphor, as explicated above, invoke notions of interaction, projection, and blending. And yet, as he writes, each model can be described as a “unidirectional” one, since it posits essentially that metaphor is the result of enlisting concrete vehicles in order to shed light on (and even construct) abstract topics. By and large, these models have not entertained the possibility that metaphor is actually a “bidirectional” process, whereby not only does it involve enlisting concrete vehicles to guide abstract conceptualization, but also the reverse — namely, that abstract topics allow us to understand the vehicles. In other words, the parts of a metaphor implicate each other in tandem. In their essay, the psycholinguists Albert N. Katz and Hamad Al-Azary suggest that three properties of semantic space “provide boundary conditions that invite uni- or bidirectionality when concepts are juxtaposed as in metaphor.” These properties are: (1) the distance of concepts A and B in this space; (2) the density of semantic space in which A and B reside; and (3) the semantic richness of this space for concrete and abstract concepts. Goodblatt and Glicksohn † Bidirectionality and Metaphor 9 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 They argue that “bidirectionality is more likely to be found when topic and vehicle come from semantically distant categories, in part because with distant categories there are fewer features that can be found relevant to both topic and vehicle.” Moving to linguistics, Roy Porat and Yeshayahu Shen address verbal metaphors and comparisons, and argue that the relation between the same two concepts/domains can, in principle, be either bidirectional or unidirectional. They suggest that bidirectionality is, in fact, “more basic than the unidirectional, in that it can be triggered by the mere presence of the two stimuli; in contrast, the unidirectional process requires an additional mechanism for it to be fully realized.” This additional mechanism is the linguistic structure of the verbal metaphor. For as they write: “In a sentence, the grammatical subject and the predicate typically tend to encode the target and the source, respectively.” Hence, unidirectionality stems from the structure of the metaphorical phrase. The cognitive psychologists David Anaki and Avishai Henik address the parallel between bidirectionality in metaphor and in synesthesia. They argue that while discussions of metaphors have suggested that metaphors are unidirectional and in particular move from the concrete to the abstract, current research has suggested that metaphors might work in the other direction also, namely, from abstract to concrete. Similarly, while most studies of synesthesia have documented its unidirectional nature, current research has provided evidence that synesthesia might be bidirectional. They address the question whether these similarities between synesthesia and metaphors are just superficial, or whether they tell us something about our cognitive mechanisms. The computer scientists Bipin Indurkhya and Amitash Ojha address advertisements in their essay, noting that while in “verbal metaphor, the target and the source domains can usually be distinguished clearly, and some features of the source domain are mapped to the target domain, and not vice versa,” this is far from clear in visual metaphor. They argue that “visual metaphors can appear to be symmetric more often than the verbal metaphors, because the lack of copula can turn the focus on the comparison between the source and the target, instead of the target itself.” The literary critic Margaret Freeman focuses in her essay on both Black’s Interaction Theory and Fauconnier and Turner’s Blending Theory. She concludes “that not only is metaphorical bidirectionality possible, it explains how the arts enable us to iconically connect with the world through our embodied cognition, not as objective observers in the Western classical sense, but as participatory sharers of that world.” Her examples range from a detailed exposition of “Man is a wolf,” discussed above, to the analysis of both advertisements and poetic texts. 10 Poetics Today 38:1 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 In the final essay, Chanita Goodblatt (a literary critic) and Joseph Glicksohn (a cognitive psychologist) discuss the grotesque nature of John Donne’s poetic imagery, which constitutes “a clash of incompatibles, generated by the great distance between the two semantic fields.” We argue that it is this clash that sustains bidirectionality in a metaphor, by preserving the tension between its two subjects, while allowing each to alternatively become the focus of one’s attention while reading. Through both a cognitive-literary and an empirical study of the metaphors in Donne’s poems “The Bait” and “The Flea,” we show how these metaphors enable both embodied simulation and bodily feeling in the reader. We argue that Donne is, in fact, an early advocate of embodied cognition. The reader will thus find in this special issue an up-to-date assessment of the study of bidirectionality in metaphor. Our primary objectives are fivefold. First, we set out the intellectual history focused on the concept of bidirectionality, which is particularly evident in this “Introduction” and in the essay by Marcel Danesi. As these essays argue, the two major theories that promote the concept of bidirectionality in metaphor, the Interaction Theory of Metaphor and Blending Theory, both derive from a rich interdisciplinary heritage; we hope our readers will appreciate both the similarity—and especially the dissimilarity—between these two theories, and their predictions regarding bidirectionality. Secondly, as this special issue demonstrates, the interdisciplinary aspect of this intellectual history continues in current scholarship and research in metaphor. The essays in this issue present points of view from semiotics, psycholinguistics, linguistics, cognitive psychology, computer science and literary criticism, even while ultimately downplaying such disciplinary distinctions. Thus, for example, the next two essays are not entrenched in their respective disciplines of psycholinguistics (Katz and AlAzary) and linguistics (Porat and Shen), but rather bear as much relevance for the fields of cognitive psychology and for literary criticism as they do for the study of verbal metaphor on which the authors focus. Our third objective in editing this special issue is to highlight different methods of research: theoretical analyses, empirical studies, and textual analysis appear in various essays, and sometimes all within the same essay. This is clearly the case for the final three essays in this issue (Indurkhya and Ojha; Freeman; Goodblatt and Glicksohn); both theorists and those conducting empirical research in this domain should benefit from seeing how each type of scholarship can inform the other. Fourthly, visual metaphor, verbal metaphor and adjacent phenomena such as simile, synesthesia, and analogy, are all analyzed and demonstrated in the various essays. Thus, bidirectionality is not analyzed solely with respect to conceptual metaphor, and in turn with respect to Blending Theory, but also with respect to a wider frame of reference. Goodblatt and Glicksohn † Bidirectionality and Metaphor 11 Downloaded from http://read.dukeupress.edu/poetics-today/article-pdf/38/1/1/459694/POE381_01Goodblatt-Glicksohn_Fpp.pdf by guest on 21 September 2021 What is more, researchers studying bidirectionality in metaphor should be acquainted with bidirectionality in synesthesia, as presented in the sixth essay in this issue (Anaki and Henik). At the same time, researchers studying synesthesia will now be able to view their work within this wider context of interest. Finally, our fifth goal in editing this special issue was to chart out paths for future research based on the scholarship presented here. Various ideas might come to mind on reading these essays: Can synesthetic metaphor inform our understanding of bidirectionality? If unidirectionality is a linguistic constraint of verbal metaphor, is bidirectionality encouraged by visual metaphor? What are the implications for the study of bidirectionality in metaphor for a specific poetic text—and a specific literary tradition? If our readers come away with an appreciation of the importance of bidirectionality in metaphor, as well as with questions they would like to investigate in their own work, then our objectives will have been fulfilled. References Anaki, David, and Avishai Henik 2016 “Bidirectionality in Synesthesia and Metaphor.” Special issue, Poetics Today 38, no. 1: 141 – 62. Black, Max 1962 Models and Metaphors: Studies in Language and Philosophy (Ithaca, NY: Cornell University Press). 1979 “More about Metaphor.” In Metaphor and Thought, edited by Anthony Ortony, 19 – 43 (Cambridge: Cambridge University Press). 1981 “Metaphors We Live By by George Lakoff, Mark Johnson” (Review), Journal of Aesthetics and Art Criticism 40, no. 2: 208 – 10. Chiappe, Dan L., John M. 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An enactive and dynamical systems theory account of dyadic relationships

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Link to Publisher's site
 2014; 5: 452.
Published online 2014 May 30. doi: 10.3389/fpsyg.2014.00452
PMCID: PMC4038949
PMID: 24910623

An enactive and dynamical systems theory account of dyadic relationships

Abstract

Many social relationships are a locus of struggle and suffering, either at the individual or interactional level. In this paper we explore why this is the case and suggest a modeling approach for dyadic interactions and the well-being of the participants. To this end we bring together an enactive approach to self with dynamical systems theory. Our basic assumption is that the quality of any social interaction or relationship fundamentally depends on the nature and constitution of the individuals engaged in these interactions. From an enactive perspective the self is conceived as an embodied and socially enacted autonomous system striving to maintain an identity. This striving involves a basic two-fold goal: the ability to exist as an individual in one’s own right, while also being open to and affected by others. In terms of dynamical systems theory one can thus consider the individual self as a self-other organized system represented by a phase space spanned by the dimensions of distinction and participation, where attractors can be defined. Based on two everyday examples of dyadic relationship we propose a simple model of relationship dynamics, in which struggle or well-being in the dyad is analyzed in terms of movements of dyadic states that are in tension or in harmony with individually developed attractors. Our model predicts that relationships can be sustained when the dyad develops a new joint attractor toward which dyadic states tend to move, and well-being when this attractor is in balance with the individuals’ attractors. We outline how this can inspire research on psychotherapy. The psychotherapy process itself provides a setting that supports clients to become aware how they fare with regards to the two-fold norm of distinction and participation and develop, through active engagement between client (or couple) and therapist, strategies to co-negotiate their self-organization.

Keywords: enactive self, distinction and participation, dynamical systems theory, well-being in relationships, the self as attractor, relationship dynamics, couples counseling

INTRODUCTION

Many social relationships are a locus of struggle and suffering, either at the individual or interactional level. Dyadic exchange and the question of well-being in relationships constitute the core of the psychotherapeutic process, as well as the content of most narratives processed in everyday life. Our goal is to better understand why some couples manage to sustain their interactions whereas others terminate their relationships. We also wish to generate ideas for improving the quality of dyadic interactions and the psychological well-being of the participants. To this end we conjoin a dynamical systems theory perspective with an enactive approach to self and explore the dynamics underlying struggle in couples’ relationships.

Dynamical systems theory (DST) is a branch of mathematics, and as such neither part of the natural sciences nor of the humanities (). Its concepts, heuristics and methods can be used to interrelate theories and findings of the various disciplines and to facilitate the dialogue between them. DST describes the complex behavior of systems over time. It allows us to interrelate experiential findings associated with relationship struggle and to derive implications for improving dyadic interaction and enabling relationships.

However, before assessing problems at the level of the interaction we should clarify our understanding of the individuals involved in it. We need to reconsider their basic nature as individuals and what drives their behavior. We suggest characterizing the individuals in the dyad from an enactive perspective, according to which every individual self is genuinely social and purposeful. The enactive self is social because it exists through engagements with others, and it is purposeful because it thereby strives to survive as a social existence. The self follows a primordial two-fold existential norm: being distinct from, as well as connected to, others. We propose that such a basic normative structure of self exists in all individuals. It guides their behavior and how they evaluate and negotiate their relationships.

Our strategy is as follows. We begin with a brief summary of the enactive self in Section “Distinction and Participation: An Enactive Approach to Self.” Based on this, as an intermediate step, we conceptualize in Section “Socially Enacted Autonomy from a Dynamical Systems Theory Perspective” the enactive self in terms of dynamical systems theory as a non-linear dynamical system. In Section “Dyadic Relationship as Negotiation of Individual and Dyadic Attractor Regions” we introduce two everyday examples of couple relationships using our concepts to describe the dynamics underlying the struggle in these interactions, and to arrive at two simple models of relationship maintenance. In Section “Discussion” we compare the two examples and derive two styles of individual relationship engagement, the passive-closed and active-open style, hypothesizing that the latter is more apt to sustain a relationship and to improve well-being in a dyadic relationship. In the last part we outline how the findings in this paper may inspire research in psychotherapy.

DISTINCTION AND PARTICIPATION: AN ENACTIVE APPROACH TO SELF

In this section we provide a short summary of the enactive approach to self as a social autonomous system (Kyselo, submitted), a recent development in enactivism. Enactivism is a non-reductionist and integrative epistemological framework for cognitive science that adopts a process-based and biologically grounded perspective on cognition (). It is rooted in the theory of autopoiesis and the idea that living beings can be minimally characterized as self-producing and self-organizing networks of biological processes that create a systemic identity (). Enactivism assumes that biological and mental phenomena are continuous and that therefore the identity of cognitive beings can be conceived as based on similar principles and concepts (). It is thus inspired by the autopoietic idea of self-generated identity, but elaborates on this concept by suggesting the more general notion of autonomy to capture not only biological but also cognitive individuation (). In the enactive view on autonomy there is no clear-cut separation between individual system and environment. Cognitive individuals emerge from active engagement with the environment through which they self-produce an identity. They thereby follow an intrinsic purpose, namely to survive and to maintain their self-generated identity (). This implies a basic tension in the individual: a need to emancipate oneself from the environment as an individual, while at the same time having a structural dependence on it for material resources ().

Through being self-organized in this way, individuals always have their own basic perspective on the world, i.e., they evaluate their interactions with the world according to what these interactions mean with regards to the goal of generating and maintaining an identity. The enactivists call this sense-making, the value-driven active engagement with the environment that in turn creates meaning for the system itself ().

The enactive view on cognitive individuation has been recently elaborated to inspire a new look at the human self (Kyselo, submitted). According to this, the self is essentially a phenomenon of life and a question about the nature of human cognitive individuation. Usually the processes of cognitive individuation have been characterized in terms of embodiment (), but according to the enactive perspective on the human self the body is not the sole source of individuation. The world of humans is a world of others, so our social relations are what matter most to us. Much in line with theories of self that emphasize the social, processual or dialogical nature of self () the enactive approach thus assumes that the social must play a vital role in any description of human cognitive individuation.

The enactive self is operationally defined as a socially enacted autonomous system, whose systemic network identity emerges as a result of an ongoing engagement in social interaction processes that can be qualified as moving in two opposed directions, distinction and participation (Kyselo, submitted). On this account, the self as identity is continuously co-generated through interacting and being related to others and at the time organizes interactions and relations. The individual self is therefore never fully separable from the social environment. It is determined precisely in terms of the types of social interactions and relations of which it is also a part. Yet in order to exist as an identifiable unity, the self also involves an ongoing process of emancipation from others. This basic tension between dependence and emancipation is primordial to the nature of human individuation, and for this reason, it is considered a fundamental drive for human behavior. Whereas living systems strive to survive by avoiding interactions with the environment that threaten their biological survival, the purpose of the human self is additionally to ensure its identity and survive as social existence1. In line with the enactive perspective on autonomy, every individual self thus has its own subjective perspective on the world, a perspective from which social interactions and relations are evaluated according to whether and how they serve the survival, i.e., maintenance, of the self. This maintenance follows a two-fold basic norm that mirrors the tension of the social individual to emancipate itself from the social environment while at the same time structurally relying on it: being able to exist as individual in one’s own right (distinction) while at the same time remaining connected with others (participation). Distinction means that the person experiences herself as both emancipated and yet not fully independent of the social world. Participation means that she feels both connected and open to, but also not fully immersed in, the social world. Both dimensions can overlap. Distinction does not imply that the person does not interact or has to be alone (think of the familiar experience of feeling alone despite being surrounded by others). Participation, on the other hand, does not imply that the person must interact all the time. A person can feel very open or related to another person even when not actually engaged with her. Both distinction and participation are (experienced) types of social interactions and relations, yet they may say little about the amount or actuality of engagement. In every individual the amount and distribution of distinction and participation can come in different degrees: some individuals have a generally strong sense of being an individual in their own right, but feel not so open to others, while others feel equally open to others.

Throughout an individual’s life there are phases when one may feel or strive for more or less distinction or participation; as a child, for instance, there might be a stronger openness to being affected by others and a lower experience of being separated, whereas during adolescence feelings of being or wanting to be separated are more dominant. Distinction or participation furthermore depend on a given cultural context, and on whether a greater value of one or the other is developed because it is socially more accepted (). Furthermore, even though at times one of the dimensions may become extremely dominant and the other appears out of reach, the other dimension can or will, at some point or implicitly, drive the individual’s behavior. Thus, for example, feeling very distinct at some point does not mean that there is no striving for connection and openness anymore.

An excessive degree of distinction would mean that the individual has no sense of openness or connection to others, while excessive participation would mean that the individual is completely immersed in the interaction. Humans thus strive to avoid the double risk of emancipation at the cost of being isolated and of connection at the cost of dissolution of the individual self. We can find examples that approximate such extreme cases in disorders of the self such as schizophrenia () and symptoms like social or self-isolation (no participation) or loss of agency (no distinction). But even though these cases are exceptional, the suffering that accompanies these extreme states could actually be indicative of a persisting striving to balance both dimensions.

Importantly, the maintenance of the self according to the two-fold normative structure of distinction and participation requires constant negotiation with others, that is, engaging with, and disengaging from them. The self is thus co-generated with others and since interactions with others can go wrong and fail to contribute to identity maintenance in the desired way, the self is genuinely vulnerable.

In the next section we conceptualize this view on self in terms of dynamical systems theory and then derive a model of interaction dynamics between two selves.

SOCIALLY ENACTED AUTONOMY FROM A DYNAMICAL SYSTEMS THEORY PERSPECTIVE

Dynamical systems theory (DST) allows describing a system at two levels: by variables that denote state changes of systems over time, and by parameters that constrain these changes (gradients). DST has been used in cognitive science to replace the input/output model of cognition, and propose a context- and time-sensitive account of cognition () and neural dynamics (). More recently, researchers in enactive cognitive science have appealed to DST to describe mind, social interaction, and sensorimotor skill-use (). In this section we use DST to conceptualize the self as socially enacted autonomy.

We begin with a brief reminder of some of the main concepts of DST. A core notion especially relevant for our purposes is the concept of attractor, which can be formally defined in terms of the phase space of a system. The phase space is a geometrical space with one or more dimensions, depending on the number of variables needed to fully describe the system (). This can be exemplified by Euclidean space: Euclidean phase space has three spatial dimensions, i.e., the coordinate axes xy, and z. Any state of an object situated in Euclidean phase space can simply be described by the three spatial coordinates. DST captures not only a particular state of the system, but also how the system changes in time.

Imagine a golf ball being hit, flying through space, landing on grass, rolling and ending up in a well or the hole of a golf course. The golf ball represents a simple dynamical system. While flying through the air, rolling on the grass, etc., the ball follows a specific trajectory (its flight or path) through Euclidean space (the three dimensions of space). Until it ends up at the bottom of a hole, the ball trajects the three dimensions of space (x, y, and z), changing its states over time. The state of the ball in the hole, after it has come to a rest, can be represented as a particular single point in phase space, to which the three dimensions of the system’s trajectory through space have converged. Assuming that the ball will always end up in the hole after many different trajectories, we would arrive at a simple illustration of a dynamics in which the system’s three dimensions are always compressed toward zero dimensions, which is indicative of so-called attractor dynamics. The unchanging, stable state, such as in the bottom of the hole in golf, is referred to as a point attractor.

As the example of the golf ball illustrates, DST concepts allow visualizing complex temporal behaviors of particular systems in terms of geometrical representations. We use the notions of phase spacetrajectory and attractor to conceptualize the states and changes of a human self.

From a DST perspective the human self can be seen as a non-linear dynamical system that displays a particular behavior represented as movement through the “landscape” of phase space (). The phase space of the enactive self refers to the states of the self as created in its relations with the social environment. It consists of representations of social interactions and relations, covering idealized engagements with and disengagements from others throughout a life-time. The self’s phase space is therefore a space of the two fundamental variables of distinction and participation as introduced in the previous section.

In order to define the phase space of an enactive self at the most general level we abstract over all possible variations of distinction and participation (individually preferred ranges, different cultures, at different times of life) and use distinction and participation as variables D and P. This is in line with abstract conceptualizations of psychological phenomena, such as Kurt Lewin’s topological psychology (), in which personality and social relations are modeled in terms of regions and barriers in ‘life space’ (). Our model of phase space may also be associated with theoretical psychology (), according to which personality involves an interpersonal space that is similarly constituted by two dimensions, agency and communion (). In terms of psychological development this resonates with the work of Mahler, who described the infant’s self development as a process of individuation and separation through which the infant’s self emerges subsequent to a post-natal period of symbiotic relation with the mother ().

The variables D and P span the self’s phase space, which can thus be illustrated as a plane (Figure Figure11). We denote the states of the self by their locations in this plane (D/P). The higher the value of D, the higher the system’s distinction, and vice versa, the higher the value of P, the higher is the system’s participation. Since the enactive self is always relational, neither D nor P can ever have a value of zero. In addition to its value of D and P, each point (D/P) of the plane has a positive or negative “elevation,” so that the corresponding slope represents repulsion from or attraction toward this point. The self’s behavior is represented by trajectories, i.e., sequences of states in the phase space. Over time a self develops particular tendencies to balance D and P (becoming more or less distinct from others and more or less open to them). In terms of DST we can say that the trajectories tend toward particular regions of the phase space. When these tendencies become manifest, these regions can eventually exhibit attractors we define in terms of a particular value D/P. The attractor regions symbolize the location of the individual’s developed and preferred zones of functioning (balancing D and P). The phase space of each self has regions with negative elevations (“wells” or “troughs” in the landscape of phase space) that indicate attractors toward which the system will move. Some regions are positively elevated and thus repulsive, which indicates so-called repellors (the opposite of attractors). Attractors and repellors emerge due to habitual tendencies and represent goals of the self throughout a particular time span. Attractors of distinction and participation must not mean that the individual evaluates them as positive. Such tendencies and goals may emerge due to the individual’s increased well-being in that region, but they may also emerge due to system-external reasons (not controlled by the individual) or habitual tendencies with a negative connotation.

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An illustration of two generic individual phase spaces of the enactive self. The individual self states are symbolized as red and blue balls. Their respective phase spaces are spanned by the variables of Distinction D and Participation P. The attractors are wells in D/P landscape, into which the self systems move. The red and blue arrows indicate the trajectories of these movements. The graphic on the left side illustrates a self (red ball) with an attractor with a greater value of D and a lower value of P. The graphic on the right side illustrates a self (blue ball) with an attractor with a relatively high value of P and a lower value of D.

Attractors may exist in different regions with different values D/P. They represent that an individual self has developed or exhibits a certain degree of distinction in combination with a certain degree of participation. Consider a person who developed a strong preference for high distinction and low participation for particular life times. For example, a novelist who at some point during the writing process escapes her social life, locks herself up in a remote and quiet place in the mountains to finish her new book. The novelist has experienced this kind of solitude as useful, and so whenever she writes a book, she retreats to the cabin. In terms of DST, during the book writing phases the novelist’s phase space shows a particular attractor D/P with a higher value of D and a lower value of P than usually. We may imagine the system starting at some point in D/P landscape. The inclination of the landscape at this point will then determine the direction of the trajectory, which is generally away from repellors and toward the deepest points of attractors. The system will change its distinction and participation values until it has reached the point attractor D/P (solitude and a minimum of engagement with others). The system will remain in the attractor region unless the phase space changes or until perturbations external to the system exert an influence.

To describe how systems’ tendencies change through perturbation, we can refer to another concept in DST, the gradients. Gradients are often referred to as control parameters, but in the context of dynamics of the self’s organization this term, borrowed from physics, is misleading. Gradients here are the environmental fluxes and affordances that drive, but do not control, a system’s self-organization. At certain critical values of a gradient, a system may enter a novel, emergent state of its dynamics, and hence its phase space landscape may become completely modified. Because of these changes new attractors may arise, so that the phase space of the enactive self should be conceived of as a flexible landscape. In case of the enactive self, gradients can refer to the social environment. Imagine for example that during the writer’s exile a friend in need reaches out asking for support in a difficult matter. This perturbates and might also change the novelist’s current states in D/P landscape. In tension to her initially preferred region of low P she reacts to the friend’s perturbation by turning toward a region with higher P values, thus adapting the current range of preference in D/P. Another example is attending some party or other obligatory social gathering, when one would actually prefer spending a quiet evening at home. Because the social event requires higher values of P it can signify a strong perturbation to the current disposition of D/lower P. The prospects of attending the party can therefore cause tension and actual struggle while being there.

Strong emotions and other motivational parameters may also be gradients that affect the self. For example, when the book is finished, the novelist’s attractor may shift back to a different region, with a higher value of participation. Here the gradient is motivational (the author realizes that the book is finished). Persistent sadness may for instance change a person’s D/P landscape and entail avoiding connection with others, shifting her states toward lower P values. Gradients can thus perturbate and change the values of the self’s attractor.

A formerly active attractor may “close,” leaving behind a quasi-attractor in the same location (). An example of this is the perception of bistable stimuli, such as Rubin’s vase-face figure (Figure Figure22). When the first perception is that of a white vase, i.e., the perceiver rests in the attractor “vase,” this will eventually give way to the new perception “black faces.” In terms of DST, the system has altered its display of attractors and the landscape of phase space has changed (). By staying in one attractor (“vase”), the attention gradient that created this attractor becomes depleted (), so that the system will explore other regions of phase space to eventually settle in a different attractor (“faces”).

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A bistable stimulus according to .

To sum up, we conceptualized the enactive self in terms of DST as an attractor landscape in a social phase space that is organized by the two variables of distinction and participation. Individual changes of distinction and participation are expressed in terms of trajectories through this landscape, and strong behavioral tendencies in terms of attractors D/P. The stability of such patterns of the self are constantly maintained and calibrated by external and system-inherent gradients, such that changes of gradients will generally change the self’s whole landscape. In the following section we explore two examples of dyadic interactions on the basis of these considerations.

DYADIC RELATIONSHIP AS NEGOTIATION OF INDIVIDUAL AND DYADIC ATTRACTOR REGIONS

In this section we use the conception of the individual self in terms of a D/P attractor dynamics for understanding dyadic relationships. We will introduce two everyday examples of relationship struggle, one in which interaction leads to a breakup the other in which interactions are sustained. We conceptualize the two couples in terms of DST as a dyadic relation between two individual phase spaces. That dyadic relationship can be described as a new kind of dynamical autonomous system (). We conceive of it as a new dynamical system with a phase space that corresponds to sustained interactions between the individuals in the relationship, a joint phase space.

For reasons of simplicity, we assume that the formation of the couple’s joint phase space is a summation of the phase spaces of the individuals: we thus add the elevation values of the individual phase spaces in each point of D and P. This means that when both participants previously had an attractor in the same region of their individual phase spaces, their dyadic joint phase space will have an even deeper attractor in this region.

We then assume that at each point in time the states of the interaction dynamic, represented through particular locations in the dyad’s phase space, affect the partners, in that they act as perturbations on their individual phase spaces D/P. Such perturbations occur at all times during the relationship. It will be a task for the future to elaborate more concrete structures, but we offer a first idea of how a joint state could affect an individual. Firstly, interactions can perturbate one or both dimensions of the individual’s developed or preferred range D/P, distinction and/or participation (they can act as gradients). Secondly, not every perturbation must lead to change in a current state or developed attractor D/P. Thirdly, it will depend on the frequency and the quality of particular interactions or patterns of interactions whether and how each state or attractor is affected. We can assume that for each dimension D or P there will be interaction qualities that currently matter more or less. For example, interactions that are too frequent and aggressive, or not frequent and gentle enough, may perturbate stronger on the dimension of P (openness) in some individuals, while interactions bringing forth a pattern of belittlement and shame on the one hand, or praise and recognition on the other, may be more relevant to the dimension of D (distinction). Whether and how much of the quality of any of such interactions perturbates D or P depends on the individuals. In the following conceptualization of two case examples in terms of DST we chose to refrain from more precise description and restrict the analysis to a fairly general level of interrelating individual and joint action. It will provide a very basic answer to our question: why do couples struggle and what constitutes well-being in a relationship? Each example is approached based on two basic questions: firstly, how the individuals’ particular negotiation tendency, i.e., their respective range of distinction and participation initially match, and secondly, whether and to what extent the actual interaction allows the participants to maintain or to negotiate their individual goals of balancing D and P.

Example 1

She, an artist, has been exploring her inner experiential world continuously in recent years investing considerable time and effort in various practices of mindfulness such as yoga and meditation. Although she is, as a performing artist, used to present herself on stage, she is careful about the exhibition of her private self outside of the roles on stage. She is generally rather inhibited to engage in an intimate relationship. He, a scientist, is used to communicate his personal projects in public and has a strong communion motif privately, being eager to engage in an intimate relationship. After the two met at a workshop and with him taking the initiative, the two soon enter an intense romantic relationship. The initial months of the relationship are full of frequent meetings in a highly participatory mode. Soon, after a few months however, she begins to feel pressured and cornered by him. She experiences fears and crises, mainly as attempts to emancipate herself from the risk of becoming too dependent on him. “Isn’t it true that people should learn to love themselves first?” she asks. To accommodate her struggle the couple decides to try a more detached and individualized style of relationship allowing her to spend more time by herself. After a while however, he begins to feel unhappy about the lack of frequency and intensity of their meetings. In his view they do not see each other enough. The next months of the relationship show a continuous oscillation between attempts to accommodate her need for more time by herself and his need for more time being together. While he experiences her effort for emancipation as too high, she experiences his effort for being together as too much. She insists that over-attachment to the other is not love. He complains that she is pushing him away. They have repeated arguments about the meaning and goals of a relationship, their attempts at improving the relationship do not reach consensus resulting in continuous emotional dissonance for both of them. The couple eventually splits up after about 1 year of being together.

Let us begin with the first question, the individuals’ general tendencies of interrelating D and P with regards to the prospective romantic relationship before they enter the relationship. Based on the above case we derive that she has a stronger tendency toward distinction and toward a sense of self as being a separated individual, whereas his profile shows tendencies in the opposite direction, toward a more participatory mode of identity construction. We can state that the individuals’ attractors dwell in different regions of phase space: as an individual, and with regards to romantic relationship, her attractor resides in a region with a greater value of D and a lower value of P. His attractor is in a region with low distinction and high participation, featuring a lower value of D and a greater value of P. Whenever these two individuals start from mid-range values of distinction and participation, the joint trajectory heads in opposition to her or his previous trajectory. This couple corresponds to the phase spaces of the example that we have given in the previous section “Socially Enacted Autonomy from a Dynamical Systems Theory Perspective” (Figure Figure11).

Let us now consider what happens when the two individuals in the couple of example 1 enter a relationship. To this end we thus create a joint phase space adding the individuals’ preferred attractors of D/P. The new dyadic phase space thus exhibits two attractors that correspond to the former individual attractors (Figure Figure33). Dividing the time of their relationship into temporal windows, we look at three states this coupled system goes through: t1, initial months; t2, adjustment phase I; t3, adjustment phase II.

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Illustration of the joint phase space of the couple in example 1. The dyadic phase space is a summation of the individual phase spaces (his low D and high P and her high D and low P, see Figure Figure11). The graphic illustrates the couple’s states during the initial months of the relationship (t1). The green ball symbolizes that they move in a region with higher values of participation.

At t1, corresponding to the closeness and intensity experienced in the initial phase of their relationship, we see that the dyad’s states tend to reside in a range close to high values of participation and lower of distinction (Figure Figure33). This is in accordance with his previous individual attractor that showed a greater value of participation. It is in dissonance with her previous attractor that had a higher value of distinction.

At t2 the dyad’s state resides in a new region within D/P plane migrating to an attractor with higher distinction and lower participation levels. At the individual level this means that the dyad’s trajectory thus moves closer to her individual range of preference and farther away from his. However, the system does not remain in this region but moves back again to the previous region of higher distinction and lower participation levels, in accordance with her and in tension with his individual preference.

Subsequently, during the adjustment phase II, the dyad’s states keep oscillating between the two opposite attractors. Except for t1 the trajectories of the dyad never persistently overlap with the individually preferred ranges (Figure Figure44). One might describe this behavior in terms of a bistable quasi-attractor dynamics, as in the example of Figure Figure22. The dyad depletes a current attractor and subsequently revives a former quasi-attractor in the sense of , to then again deplete it and revive the previous one. The couple’s transients between the two attractors eventually result in a collapse of the system at t3.

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2D illustration of the joint phase space of the couple described by example 1. The attractors are depicted in blue, the repellors in red. Attractors are circled showing that there was no overlap of the basins of the two attractors.

Example 2

She, an artist, has been exploring her inner experiential world continuously in recent years investing considerable time and effort in various practices of mindfulness such as yoga and meditation. Although she is, as a performing artist, used to present herself on stage, she is more careful about the exhibition of her private self outside of the roles on stage and more reluctant to engage in an intimate relationship. He, a scientist, is used to communicate his personal projects in public and also has a strong communion motif privately being eager to engage in an intimate relationship. However, he also likes spending a lot of time by himself. Since the beginning of their relationship the couple experiences short-lasting but intensive crises. In these crises she feels pressure and fears of being overwhelmed and losing control. She would like to be by herself but at the same time she does not want to leave the interaction, afraid to lose the connection or to hurt him. He usually is shocked at the expression of her discontent and feels overwhelmed or afraid of failing to please her. At the same time he also experiences a strong pull to stay in the situation with her, either because he is afraid to hurt her or to lose her. Both are convinced that an intimate relationship requires efforts on both sides and so they try different strategies to deal with their crises. Occasionally the couple decides to briefly interrupt the interaction trying to become aware of individual feelings without worrying what the other does. At other times, overcoming feelings of panic and losing control, they are open and trusting toward the other and remain in the interaction. Both experience these phases as difficult and feel strong emotional dissonance. But they also learn that momentary disconnection does not necessarily threaten their relationship and that what initially seemed frustrating can actually lead to a better mutual understanding. The couple experiences this as nourishing and as deepening their connection.

Let us begin with the first question, the individuals’ general tendencies of interrelating D and P with regards to the prospective romantic relationship before they enter the relationship. Based on the above case we derive that she has a strong tendency toward distinction and toward a sense of self as being a separated individual whereas his profile shows tendencies in the opposite direction, toward a more participatory mode of identity construction. However he also shows relatively high tendencies toward distinction. The individuals thus have different preferences in negotiation of distinction and participation, i.e., the attractors of the individuals are in different, but not opposite regions of phase space: she has a high D/low P attractor, and a repellor at low D/high P. The repellor represents her inhibition for highly participatory states when the range of distinction is low. His attractor is also at greater values of D together with moderate to high P (Figure Figure55, please note that her attractor is identical to the attractor of the “she” protagonist of example 1, cf. Figure Figure11 left), whereas his attractor slightly differs in the two narratives.

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Illustration of the phase spaces of the individuals in example 2 (left: “She”; right: “He”). The phase spaces are spanned by the dimensions of Distinction D and Participation P. Individual system states are symbolized as locations of red and blue balls. The attractors are wells in the D/P landscape, into which the self systems (balls) tend to move. Arrows indicate trajectories from two arbitrary starting points.

Let us now describe the situation once the individuals of example 2 enter a relationship and the individual phase spaces are merged into one joint phase space (Figure Figure66). Corresponding to the couple’s several instances of crises, the dyad’s states in example 2 oscillate between the two attractor regions. The dyad’s behavior thus shows similarity to that of example 1. However, the transients between the “deepest” points of the attractors here are considerably shorter than in the dyad of example 1. Even though the oscillations occur between different levels of participation, the individuals show an overlap in their previous attractors with a high value of distinction. The couple in this example thus has a region in which the individuals share individual preferences. In terms of DST this is to say that the basins of the two individual attractor regions create an intersection, i.e., a region of overlap (Figure Figure77). Such connections between point attractors are called “saddles” (Figure Figure66). If the couple continues to sustain interactions leading to an overlap of their attractors, a saddle could “deepen” and turn into a new, jointly created attractor indicating the couple’s sustained interaction tendencies.

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Illustration of the dyadic phase space of example 2. The dyadic phase space corresponds to the individual phase spaces from Figure Figure55. The couple’s state (green ball) is located in the saddle, the region connecting the individual attractor regions.

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2D plane view on the dyadic phase space of example 2. The two attractor regions are depicted in blue, the repellors in red. The attractors are circled. Their inters

Conceptualizing the two relationship examples in terms of dyadic movements away and toward greater distinction or participation that are either in accordance with or deviating from the individually developed attractor, we offer a simple model of co-negotiation of self maintenance in dyadic interaction. In the following section we compare the two couples and discuss what the observed state changes could mean for relationship sustainment and individual well-being.

DISCUSSION

In example 1 we see that the dyad’s interaction did not lead to a joint region or attractor that was in the same region as the attractors of both individuals. The couple’s states continuously oscillate between two divergent attractor regions. Each attempt to approximate the participants’ respective attractor zone implied a deviation from the developed zone of the other participant. Each experienced deviation was followed by a strong inclination to avoid the jointly enacted quality and to increase it toward the opposite direction and back to an initial preferred range.

Comparing the couple’s states to the individual attractor region we observe that a greater value of D for him is in tension with his preferred zone of well-being that entails lower values of D. Yet when the couple’s states show a greater value of P, then this implies a tension for her. For both individuals the quality of interaction therefore turns out to be in continuous tension with their individual preference for self maintenance (the preferred balance between D/P). The tendencies of the individuals to respond to the tension by fully going back to their own preferred zone of well-being leads to a breakdown of the relationship.

Based on this simple model we hypothesize that individuals whose initial ranges of preferences of distinction and participation are highly opposed are less likely to engage in sustained interactions when for both participants the quality of interaction is in non-negotiable tension to their developed preferences.

In example 2 a joint region (the saddle) was created based on a partial match of the two individual attractor regions and shorter transients back to original individual attractors. As in the previous example the experienced quality of the interaction (more or less D or P) perturbates the individual participants’ preferred range and is in tension with their attractors. However, in contrast to example 1, the individuals do not fully go back to their initial range D/P. Instead they remain within the vicinity of the other’s range of preference. In example 1 the individuals are affected by the interaction and act in accordance with their own individual goals. In example 2 the individuals are affected by the interaction (experienced perturbation to D/P), but they also adapt their own preference in dependence on and through the interaction. As a result, their interaction not only perturbates the individuals’ preferred range but actually alters it. In this example, a higher value of P implied staying within some region of higher P despite a tension with individual preference for low P or, when the interaction showed a higher level of D and this was in tension with a developed low value of D, it implied approaching a higher D than usual. In this way both partners increased the tolerance toward the interaction to act as a gradient on one’s own individually preferred range of D/P. This activity allowed for the development of a new, shared zone of preference.

Based on this simple model we hypothesize that individuals who have attractors that show overlap (here, in the dimension of distinction) are more likely able to negotiate tensions caused by perturbations and to jointly adapt their individually developed attractors so that they allow for sustained interactions.

From the dynamical systems conceptualization of the two relationships we derive two styles of negotiation of D/P. The first style, corresponding to couple 1, shows that both individuals avoid deviations from their original range of preference. We call this style passive-closed as the individuals enter the relationship and react to the tension it creates but do not actively shape the interaction nor adapt their own attractor.

The second style, corresponding to the couple from example 2, shows tolerance for perturbation and potential change for both individuals. We call this style activeopen as the individuals enter the relationship and gradually adapt their movement. An experienced tension is not reacted to independently from the ongoing interaction. The active-open style appears to delegate some of the tension caused by perturbation into the individuals’ joint negotiation of D/P, creating new, shared spaces of balancing their individually developed ranges of D/P.

One can speculate that in this way some interactions can create corrective experiences () to form new, previously unavailable, evaluation and negotiation strategies, thus effectively changing the individuals’ previously developed attractors.

We hypothesize that the active-open style is more likely to ensure well-being in a relationship, i.e., not only that a relationship is sustained but also that the quality of the interaction can meet the needs of both individuals. That said, we do not suggest that the accommodation of participants’ well-being must always imply an ongoing or actual engagement. There are cases, like example 1, where a couple is unable to negotiate the individually experienced tension in a way that still allows for sustaining their relationship. But it is easy to conceive of couples who manage to stay together and are unhappy nevertheless, simply because the negotiation of tension occurs at the expense of the needs of one or both. Negotiation of well-being in a relationship is not only finding continuity in interaction, it is also finding it under specific conditions, namely by considering whether the interaction quality is in tension or in accordance with the individuals’ needs, and their developed preferences for D and P. Compatibility or well-being therefore does not necessarily require individuals to share high values of participation and remain constantly open and ready to be affected by one another. As example 2 shows, it may also involve a greater amount of separateness or even periods of disconnection. In the example both partners might need to strongly feel valuable as a person also independently from the other partner or simply wish to spend more time by themselves. This could make them compatible despite a difference in participation preference. This couple can sustain a relationship with actual interactions and some extent of connectivity but also with spaces of disengagement or disconnection, allowing individuals to experience themselves independently from each other2.

We should emphasize again that our suggestions apply for close relationships and not for every social interaction. There is an abundance of potential and actual social interactions that are not even remotely considered to be relevant for a person’s self maintenance. Certain types of relationships however, such as romantic relationships, friendships or family bonds, but also some relations dictated merely by cultural agreement such as between employer and employee, are usually considered as fundamentally important or closer than others. Based on our model we can speculate that this is the case precisely because they are considered as important sources for self maintenance and spaces for engaging in the existentially needed joint negotiation of both norms of distinction and participation. The more a relationship is deemed to provide such a space the more relevant it will appear. In this sense, being in a relationship is also always an individual choice.

Our account suggests that struggle in a dyadic relationship is in principle unavoidable. This is because any sustained interaction implies that there are two individuals that each have their own goals of social survival and that thus have developed perspectives on how interactions can contribute to them. This leads to constant perturbations that individuals can experience as tension and that can manifest as struggle. Whether or not the couple can maintain the relationship will depend on the individuals’ range of preference and their capacities to tolerate deviations from that range, but also on how the individuals adaptively evaluate and re-evaluate the interaction.

CONCLUSION

In this paper we conjoined the enactive approach to self with dynamical systems theory to shed light on some basic dynamics underlying struggle and communion in dyadic relationships. We proposed a model of relationship dynamics in terms of a dyadic phase space emerging through the summation of individuals’ phase spaces and assessed struggle or well-being in terms of movements of dyadic states in tension or in harmony with individual attractors. The model predicts that a relationship is sustained when the couple develops a new joint attractor toward which dyadic states tend to move. This is most likely when there is (1) overlap in preferred ranges of distinction and participation in combination with a high estimation of the relationship’s potential to accommodate balancing individual ranges of distinction and participation, as well as (2) an active-open style, in which participants adapt their individual ranges according to their interaction. Because such a relationship has greater potential to meet the needs of both participants to feel more or less connected, and more or less recognized in their own right, it is more likely to lead to well-being.

Presently, we must note some divergences and limitations in conceptualizing an enactive approach to self in terms of DST. In the enactive view, the self is generally co-determined in interaction, and thus already entails perturbations through social interactions. The dimensions of distinction and participation not only mirror the individual’s trajectories but also entail that these trajectories depend on interactions with others. At later stages of the individual’s development, not every interaction matters for self-organization. And yet, at the same time, a self also has developed particular tendencies (dispositions) that constrain to which extent these trajectories are open to perturbations by others, allowing a more flexible evaluation of interactions. Future elaborations on our model have to account for the fact that social interactions and relations matter at different but inextricably linked levels, such as development, dispositional as well as situational enactment of the self. They require clarifications of enactive or dialectical conceptions of identity and the development of corresponding mathematical concepts to arrive at closer approximations for the model and what the model represents. Levins’ work on the relation of dialectical and systemic theory () and Van Geert’s DST approach to cognitive development in children () could serve as inspirations to this end.

Our considerations are exploratory, but we believe they can serve as a starting point to deepen our understanding of the complex interrelation between individual and dyad. They might further help to shed light on interrelations of important phenomena and aspects associated with struggle in dyadic relationships, such as vulnerability and shame, mutual recognition, intimacy, co-dependency, and trauma.

Apart from its potential to assist theoretical integration our proposal may be supported by further quantitative research, for example, through repeated measurements of D and P preferences of people in a relationship. Methods are available for the assessment of communion and agency (the FAMOS: ; the IIP: ), which may be used as an approximation of the enactive concepts proposed here. It also promises applicability to various empirical fields, for example psychotherapy, and a variety of existing methods of measurement could be used or re-evaluated in light of it.

In this vein, a goal of therapy could be to raise individuals’ awareness that they have existential goals (distinction and participation) that are continuously at play and that affect their interactions. At the same time, they should be encouraged to recognize that this equally applies to the partner and that their relationship is thus a jointly negotiated dynamic of their own individual goals (). In therapy a couple’s current relationship status could be assessed in terms of individuals’ current D/P attractors, how the interactions tend to perturbate them, and the strategies that the couple uses to negotiate these perturbations. This could be complemented by an assessment of individuals’ attractors developed before the relationship D/P (e.g., through questionnaires), and by determining the general likelihood of overlap between their attractor regions. For this purpose it might be crucial to evaluate the actual capacities of the individuals for tolerating perturbations and allowing for adaptive change in their developed attractors D/P, taking for instance into account factors such as stress level, emotion regulation capacities, attachment styles, past traumata and how they might constitute hindrances (repellors).

Since psychotherapy is itself a dynamic social interaction, it provides a setting in which participants can develop, through active engagement of client/couple and therapist, novel strategies to co-calibrate their self-organization, i.e., narrow the window of oscillation between the opposing attractors or secure a shared zone of well-being. To this end, especially, systemic or interactional approaches to psychotherapy such as the “open-dialogue” approach (e.g., ) could serve as useful resources. We propose that evaluations and improvements can and should also account for the fact that enactment of relational processes is bodily mediated. Inspiration for reconsidering interventions and assessments in terms of co-negotiation of self maintenance might therefore also come from areas such as mindfulness training, body psychotherapy and dance therapy (e.g., ).

Last but not least, from an ethical point of view our proposal is also meant to encourage a greater tolerance for negativity and struggle as necessary aspects of social life. The self individually is a locus of tension and conflicting tendencies: one needs others, and yet at the same time one also needs to feel capable and recognized independently of them. When two people come together the potential for conflict is increased even more. The recognition that we contribute to one another’s self maintenance, and that this is not an easy endeavor, could be a way of affirming the socially existential basis of life as such. Like life, the self resists rigidity. Like life, it is ever moving and not fully determined as long as it exists. Because of this openness of self, relationship struggle must be a necessary aspect of life.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank Gabriel Levy and Ezequiel Di Paolo for helpful comments. This work is supported by the Marie-Curie Initial Training Network, “TESIS: Towards an Embodied Science of InterSubjectivity” (FP7-PEOPLE-2010-ITN, 264828).

Footnotes

1This is not to say that the body does not matter but that individuation does not emerge through bodily processes in isolation. The body changes its status becoming a mediator of the self as socially enacted existence. The bodily sense of self can be biologically grounded but its meaning for the self as individual being can only be derived in dependence on how the self is in the world that is, based on and in relation to others. It must be seen as a matrix telling us (e.g., through emotions) how we fare in these interactions with regards to the minimal purpose of human existence: to be someone who is at the same time a person in her own right while also being a person that one can connect to. Bodily experiences thus acquire a social meaning.

2As stated in the famous expression “opposites attract,” individuals can also have no overlap at all and still experience each other as compatible because their different attractors may complement one another. And vice versa, individuals might have a great overlap, sharing high participation and low distinction and still struggle because of a lack of feeling acknowledged as being more than a partner for another person.

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Models of Metaphor in NLP by Ekaterina Shutova

Models of Metaphor in NLP

Ekaterina Shutova

Computer Laboratory University of Cambridge
15 JJ Thomson Avenue Cambridge CB3 0FD, UK Ekaterina.Shutova@cl.cam.ac.uk

Abstract

Automatic processing of metaphor can be clearly divided into two subtasks: metaphor recognition (distinguishing be- tween literal and metaphorical language in a text) and metaphor interpretation (identifying the intended literal meaning of a metaphorical expression). Both of them have been repeatedly addressed in NLP. This paper is the first comprehensive and systematic review of the existing computational models of metaphor, the issues of metaphor annotation in corpora and the available resources.

1 Introduction

Our production and comprehension of language is a multi-layered computational process. Humans carry out high-level semantic tasks effortlessly by subconsciously employing a vast inventory of complex linguistic devices, while simultaneously integrating their background knowledge, to reason about reality. An ideal model of language understanding would also be capable of performing such high-level semantic tasks.

However, a great deal of NLP research to date focuses on processing lower-level linguistic information, such as e.g. part-of-speech tagging, discovering syntactic structure of a sentence (parsing), coreference resolution, named entity recognition and many others. Another cohort of researchers set the goal of improving application- based statistical inference (e.g. for recognizing textual entailment or automatic summarization). In contrast, there have been fewer attempts to bring the state-of-the-art NLP technologies together to model the way humans use language to frame high-level reasoning processes, such as for example, creative thought.

The majority of computational approaches to

Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 688–697, Uppsala, Sweden, 11-16 July 2010. ⃝c 2010 Association for Computational Linguistics

figurative language still exploit the ideas articulated three decades ago (Wilks, 1978; Lakoff and Johnson, 1980; Fass, 1991) and often rely on task-specific hand-coded knowledge. However, recent work on lexical semantics and lexical acquisition techniques opens many new avenues for creation of fully automated models for recognition and interpretation of figurative language. In this paper I will focus on the phenomenon of metaphor and describe the most prominent computational approaches to metaphor, as well the issues of resource creation and metaphor annotation.

Metaphors arise when one concept is viewed in terms of the properties of the other. In other words it is based on similarity between the concepts. Similarity is a kind of association implying the presence of characteristics in common. Here are some examples of metaphor.

  1. (1)  Hillary brushed aside the accusations.
  2. (2)  How can I kill a process? (Martin, 1988)
  3. (3)  I invested myself fully in this relationship.
  4. (4)  And then my heart with pleasure fills, And dances with the daffodils.1

In metaphorical expressions seemingly unrelated features of one concept are associated with another concept. In the example (2) the computational process is viewed as something alive and, therefore, its forced termination is associated with the act of killing.

Metaphorical expressions represent a great variety, ranging from conventional metaphors, which we reproduce and comprehend every day, e.g. those in (2) and (3), to poetic and largely novel ones, such as (4). The use of metaphor is ubiquitous in natural language text and it is a serious bottleneck in automatic text understanding.

1“I wandered lonely as a cloud”, William Wordsworth, 1804.

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In order to estimate the frequency of the phenomenon, Shutova (2010) conducted a corpus study on a subset of the British National Corpus (BNC) (Burnard, 2007) representing various genres. They manually annotated metaphorical expressions in this data and found that 241 out of 761 sentences contained a metaphor. Due to such a high frequency of their use, a system capable of recognizing and interpreting metaphorical expressions in unrestricted text would become an invaluable component of any semantics-oriented NLP application.

Automatic processing of metaphor can be clearly divided into two subtasks: metaphor recognition (distinguishing between literal and metaphorical language in text) and metaphor interpretation (identifying the intended literal meaning of a metaphorical expression). Both of them have been repeatedly addressed in NLP.

2 Theoretical Background

Four different views on metaphor have been broadly discussed in linguistics and philosophy: the comparison view (Gentner, 1983), the interaction view (Black, 1962), (Hesse, 1966), the selectional restrictions violation view (Wilks, 1975; Wilks, 1978) and the conceptual metaphor view (Lakoff and Johnson, 1980)2. All of these approaches share the idea of an interconceptual mapping that underlies the production of metaphorical expressions. In other words, metaphor always involves two concepts or conceptual domains: the target (also called topic or tenor in the linguistics literature) and the source (or vehicle). Consider the examples in (5) and (6).

  1. (5)  He shot down all of my arguments. (Lakoff and Johnson, 1980)
  2. (6)  He attacked every weak point in my argument. (Lakoff and Johnson, 1980)

According to Lakoff and Johnson (1980), a mapping of a concept of argument to that of war is employed here. The argument, which is the target concept, is viewed in terms of a battle (or a war), the source concept. The existence of such a link allows us to talk about arguments using the war terminology, thus giving rise to a number of metaphors.

2 A detailed overview and criticism of these four views can be found in (Tourangeau and Sternberg, 1982).

However, Lakoff and Johnson do not discuss how metaphors can be recognized in the linguistic data, which is the primary task in the automatic processing of metaphor. Although humans are highly capable of producing and comprehending metaphorical expressions, the task of distinguishing between literal and nonliteral meanings and, therefore, identifying metaphor in text appears to be challenging. This is due to the variation in its use and external form, as well as a not clear-cut semantic distinction. Gibbs (1984) suggests that literal and figurative meanings are situated at the ends of a single continuum, along which metaphoricity and idiomaticity are spread. This makes demarcation of metaphorical and literal language fuzzy.

So far, the most influential account of metaphor recognition is that of Wilks (1978). According to Wilks, metaphors represent a violation of selectional restrictions in a given context. Selectional restrictions are the semantic constraints that a verb places onto its arguments. Consider the following example.

(7) My car drinks gasoline. (Wilks, 1978)

The verb drink normally takes an animate subject and a liquid object. Therefore, drink taking a car as a subject is an anomaly, which may in turn indicate the metaphorical use of drink.

3 Automatic Metaphor Recognition

One of the first attempts to identify and interpret metaphorical expressions in text automatically is the approach of Fass (1991). It originates in the work of Wilks (1978) and utilizes hand- coded knowledge. Fass (1991) developed a system called met*, capable of discriminating between literalness, metonymy, metaphor and anomaly. It does this in three stages. First, literalness is distinguished from non-literalness using selectional preference violation as an indicator. In the case that non-literalness is detected, the respective phrase is tested for being a metonymic relation us- ing hand-coded patterns (such as CONTAINER- for-CONTENT). If the system fails to recognize metonymy, it proceeds to search the knowledge base for a relevant analogy in order to discriminate metaphorical relations from anomalous ones. E.g., the sentence in (7) would be represented in this framework as (car,drink,gasoline), which does not satisfy the preference (animal, drink, liquid), as car

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is not a hyponym of animal. met* then searches its knowledge base for a triple containing a hypernym of both the actual argument and the desired argument and finds (thing, use, energy source), which represents the metaphorical interpretation.

However, Fass himself indicated a problem with the selectional preference violation approach applied to metaphor recognition. The approach detects any kind of nonliteralness or anomaly in language (metaphors, metonymies and others), and not only metaphors, i.e., it overgenerates. The methods met* uses to differentiate between those are mainly based on hand-coded knowledge, which implies a number of limitations.

Another problem with this approach arises from the high conventionality of metaphor in language. This means that some metaphorical senses are very common. As a result the system would extract selectional preference distributions skewed towards such conventional metaphorical senses of the verb or one of its arguments. Therefore, although some expressions may be fully metaphorical in nature, no selectional preference violation can be detected in their use. Another counterargument is bound to the fact that interpretation is always context dependent, e.g. the phrase all men are animals can be used metaphorically, however, without any violation of selectional restrictions.

Goatly (1997) addresses the phenomenon of metaphor by identifying a set of linguistic cues indicating it. He gives examples of lexical patterns indicating the presence of a metaphorical expression, such as metaphorically speaking, utterly, completely, so to speak and, surprisingly, literally. Such cues would probably not be enough for metaphor extraction on their own, but could contribute to a more complex system.

The work of Peters and Peters (2000) concentrates on detecting figurative language in lexical resources. They mine WordNet (Fellbaum, 1998) for the examples of systematic polysemy, which allows to capture metonymic and metaphorical relations. The authors search for nodes that are relatively high up in the WordNet hierarchy and that share a set of common word forms among their descendants. Peters and Peters found that such nodes often happen to be in metonymic (e.g. publication publisher) or metaphorical (e.g. supporting structure – theory) relation

The CorMet system discussed in (Mason, 2004) is the first attempt to discover source-target do-

main mappings automatically. This is done by “finding systematic variations in domain-specific selectional preferences, which are inferred from large, dynamically mined Internet corpora”. For example, Mason collects texts from the LAB domain and the FINANCE domain, in both of which pour would be a characteristic verb. In the LAB domain pour has a strong selectional preference for objects of type liquid, whereas in the FINANCE domain it selects for money. From this Mason’s system infers the domain mapping FINANCE – LAB and the concept mapping money – liquid. He compares the output of his system against the Master Metaphor List (Lakoff et al., 1991) containing hand-crafted metaphorical mappings between concepts. Mason reports an accuracy of 77%, although it should be noted that as any evaluation that is done by hand it contains an element of subjectivity.

Birke and Sarkar (2006) present a sentence clustering approach for non-literal language recognition implemented in the TroFi system (Trope Finder). This idea originates from a similarity- based word sense disambiguation method developed by Karov and Edelman (1998). The method employs a set of seed sentences, where the senses are annotated; computes similarity between the sentence containing the word to be disambiguated and all of the seed sentences and selects the sense corresponding to the annotation in the most similar seed sentences. Birke and Sarkar (2006) adapt this algorithm to perform a two-way classification: literal vs. nonliteral, and they do not clearly de- fine the kinds of tropes they aim to discover. They attain a performance of 53.8% in terms of f-score.

The method of Gedigan et al. (2006) discriminates between literal and metaphorical use. They trained a maximum entropy classifier for this purpose. They obtained their data by extracting the lexical items whose frames are related to MO- TION and CURE from FrameNet (Fillmore et al., 2003). Then they searched the PropBank Wall Street Journal corpus (Kingsbury and Palmer, 2002) for sentences containing such lexical items and annotated them with respect to metaphoric- ity. They used PropBank annotation (arguments and their semantic types) as features to train the classifier and report an accuracy of 95.12%. This result is, however, only a little higher than the performance of the naive baseline assigning majority class to all instances (92.90%). These numbers

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can be explained by the fact that 92.00% of the verbs of MOTION and CURE in the Wall Street Journal corpus are used metaphorically, thus making the dataset unbalanced with respect to the target categories and the task notably easier.

Both Birke and Sarkar (2006) and Gedigan et al. (2006) focus only on metaphors expressed by a verb. As opposed to that the approach of Krishnakumaran and Zhu (2007) deals with verbs, nouns and adjectives as parts of speech. They use hyponymy relation in WordNet and word bigram counts to predict metaphors at a sentence level. Given an IS-A metaphor (e.g. The world is a stage3) they verify if the two nouns involved are in hyponymy relation in WordNet, and if they are not then this sentence is tagged as containing a metaphor. Along with this they con- sider expressions containing a verb or an adjective used metaphorically (e.g. He planted good ideas in their minds or He has a fertile imagination). Hereby they calculate bigram probabilities of verb-noun and adjective-noun pairs (including the hyponyms/hypernyms of the noun in question). If the combination is not observed in the data with sufficient frequency, the system tags the sentence containing it as metaphorical. This idea is a modification of the selectional preference view of Wilks. However, by using bigram counts over verb-noun pairs Krishnakumaran and Zhu (2007) loose a great deal of information com- pared to a system extracting verb-object relations from parsed text. The authors evaluated their system on a set of example sentences compiled from the Master Metaphor List (Lakoff et al., 1991), whereby highly conventionalized metaphors (they call them dead metaphors) are taken to be negative examples. Thus they do not deal with literal examples as such: essentially, the distinction they are making is between the senses included in Word- Net, even if they are conventional metaphors, and those not included in WordNet.

4 Automatic Metaphor Interpretation

Almost simultaneously with the work of Fass (1991), Martin (1990) presents a Metaphor Interpretation, Denotation and Acquisition System (MIDAS). In this work Martin captures hierarchical organization of conventional metaphors. The idea behind this is that the more specific conventional metaphors descend from the general ones.

3William Shakespeare

Given an example of a metaphorical expression, MIDAS searches its database for a corresponding metaphor that would explain the anomaly. If it does not find any, it abstracts from the example to more general concepts and repeats the search. If it finds a suitable general metaphor, it creates a mapping for its descendant, a more specific metaphor, based on this example. This is also how novel metaphors are acquired. MIDAS has been integrated with the Unix Consultant (UC), the system that answers users questions about Unix. The UC first tries to find a literal answer to the question. If it is not able to, it calls MIDAS which detects metaphorical expressions via selectional preference violation and searches its database for a metaphor explaining the anomaly in the question.

Another cohort of approaches relies on per- forming inferences about entities and events in the source and target domains for metaphor interpretation. These include the KARMA system (Narayanan, 1997; Narayanan, 1999; Feldman and Narayanan, 2004) and the ATT-Meta project (Barnden and Lee, 2002; Agerri et al., 2007). Within both systems the authors developed a metaphor-based reasoning framework in accordance with the theory of conceptual metaphor. The reasoning process relies on manually coded knowledge about the world and operates mainly in the source domain. The results are then projected onto the target domain using the conceptual mapping representation. The ATT-Meta project concerns metaphorical and metonymic description of mental states and reasoning about mental states using first order logic. Their system, however, does not take natural language sentences as input, but logical expressions that are representations of small discourse fragments. KARMA in turn deals with a broad range of abstract actions and events and takes parsed text as input.

Veale and Hao (2008) derive a “fluid knowledge representation for metaphor interpretation and generation”, called Talking Points. Talking Points are a set of characteristics of concepts belonging to source and target domains and related facts about the world which the authors acquire automatically from WordNet and from the web. Talking Points are then organized in Slipnet, a framework that allows for a number of insertions, deletions and substitutions in definitions of such characteristics in order to establish a connection between the target and the source

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concepts. This work builds on the idea of slippage in knowledge representation for understanding analogies in abstract domains (Hofstadter and Mitchell, 1994; Hofstadter, 1995). Below is an example demonstrating how slippage operates to explain the metaphor Make-up is a Western burqa.

Make-up =
typically worn by women
expected to be worn by women must be worn by women
must be worn by Muslim women

Burqa à=

By doing insertions and substitutions the system arrives from the definition typically worn by women to that of must be worn by Muslim women, and thus establishes a link between the concepts of make-up and burqa. Veale and Hao (2008), however, did not evaluate to which extent their knowledge base of Talking Points and the associated reasoning framework are useful to interpret metaphorical expressions occurring in text.

Shutova (2010) defines metaphor interpretation as a paraphrasing task and presents a method for deriving literal paraphrases for metaphorical expressions from the BNC. For example, for the metaphors in “All of this stirred an unfathomable excitement in her” or “a carelessly leaked report” their system produces interpretations “All of this provoked an unfathomable excitement in her” and “a carelessly disclosed report” respectively. They first apply a probabilistic model to rank all possible paraphrases for the metaphorical expression given the context; and then use automatically induced selectional preferences to discriminate between figurative and literal paraphrases. The selectional preference distribution is defined in terms of selectional association measure introduced by Resnik (1993) over the noun classes automatically produced by Sun and Korhonen (2009). Shutova (2010) tested their system only on metaphors expressed by a verb and report a paraphrasing accuracy of 0.81.

5 Metaphor Resources

Metaphor is a knowledge-hungry phenomenon. Hence there is a need for either an extenZsive manually-created knowledge-base or a robust knowledge acquisition system for interpretation of metaphorical expressions. The latter being a hard task, a great deal of metaphor research resorted to

the first option. Although hand-coded knowledge proved useful for metaphor interpretation (Fass, 1991; Martin, 1990), it should be noted that the systems utilizing it have a very limited coverage.

One of the first attempts to create a multipurpose knowledge base of source–target domain mappings is the Master Metaphor List (Lakoff et al., 1991). It includes a classification of metaphorical mappings (mainly those related to mind, feel- ings and emotions) with the corresponding examples of language use. This resource has been criticized for the lack of clear structuring principles of the mapping ontology (Lo ̈nneker-Rodman, 2008). The taxonomical levels are often confused, and the same classes are referred to by different class labels. This fact and the chosen data representation in the Master Metaphor List make it not suitable for computational use. However, both the idea of the list and its actual mappings ontology inspired the creation of other metaphor resources.

The most prominent of them are MetaBank (Martin, 1994) and the Mental Metaphor Data- bank4 created in the framework of the ATT-meta project (Barnden and Lee, 2002; Agerri et al., 2007). The MetaBank is a knowledge-base of English metaphorical conventions, represented in the form of metaphor maps (Martin, 1988) contain- ing detailed information about source-target concept mappings backed by empirical evidence. The ATT-meta project databank contains a large number of examples of metaphors of mind classified by source–target domain mappings taken from the Master Metaphor List.

Along with this it is worth mentioning metaphor resources in languages other than English. There has been a wealth of research on metaphor in Spanish, Chinese, Russian, German, French and Italian. The Hamburg Metaphor Database (Lo ̈nneker, 2004; Reining and Lo ̈nneker-Rodman, 2007) contains examples of metaphorical expressions in German and French, which are mapped to senses from EuroWordNet5 and annotated with source–target domain mappings taken from the Master Metaphor List.

Alonge and Castelli (2003) discuss how metaphors can be represented in ItalWordNet for

4 http://www.cs.bham.ac.uk/∼jab/ATT-Meta/Databank/

5EuroWordNet is a multilingual database with wordnets for several European languages (Dutch, Italian, Spanish, Ger- man, French, Czech and Estonian). The wordnets are structured in the same way as the Princeton WordNet for English. URL: http://www.illc.uva.nl/EuroWordNet/

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Italian and motivate this by linguistic evidence. Encoding metaphorical information in general domain lexical resources for English, e.g. Word-Net (Lo ̈nneker and Eilts, 2004), would undoubtedly provide a new platform for experiments and enable researchers to directly compare their results.

6 Metaphor Annotation in Corpora

To reflect two distinct aspects of the phenomenon, metaphor annotation can be split into two stages: identifying metaphorical senses in text (akin word sense disambiguation) and annotating source – target domain mappings underlying the production of metaphorical expressions. Traditional approaches to metaphor annotation include manual search for lexical items used metaphorically (Pragglejaz Group, 2007), for source and target domain vocabulary (Deignan, 2006; Koivisto-Alanko and Tis- sari, 2006; Martin, 2006) or for linguistic mark- ers of metaphor (Goatly, 1997). Although there is a consensus in the research community that the phenomenon of metaphor is not restricted to similarity-based extensions of meanings of iso- lated words, but rather involves reconceptualization of a whole area of experience in terms of an- other, there still has been surprisingly little inter- est in annotation of cross-domain mappings. How- ever, a corpus annotated for conceptual mappings could provide a new starting point for both linguistic and cognitive experiments.

6.1 Metaphor and Polysemy

The theorists of metaphor distinguish between two kinds of metaphorical language: novel (or poetic) metaphors, that surprise our imagination, and conventionalized metaphors, that become a part of an ordinary discourse. “Metaphors begin their lives as novel poetic creations with marked rhetorical effects, whose comprehension requires a special imaginative leap. As time goes by, they become a part of general usage, their comprehension be- comes more automatic, and their rhetorical effect is dulled” (Nunberg, 1987). Following Orwell (1946) Nunberg calls such metaphors “dead” and claims that they are not psychologically distinct from literally-used terms.

This scheme demonstrates how metaphorical associations capture some generalisations govern- ing polysemy: over time some of the aspects of the target domain are added to the meaning of a

term in a source domain, resulting in a (metaphorical) sense extension of this term. Copestake and Briscoe (1995) discuss sense extension mainly based on metonymic examples and model the phenomenon using lexical rules encoding metonymic patterns. Along with this they suggest that similar mechanisms can be used to account for metaphoric processes, and the conceptual mappings encoded in the sense extension rules would define the lim- its to the possible shifts in meaning.

However, it is often unclear if a metaphorical instance is a case of broadening of the sense in context due to general vagueness in language, or it manifests a formation of a new distinct metaphorical sense. Consider the following examples.

(8) a.

b. (9) a. b.

As soon as I entered the room I noticed the difference.

How can I enter Emacs? My tea is cold.
He is such a cold person.

Enter in (8a) is defined as “to go or come into a place, building, room, etc.; to pass within the boundaries of a country, region, portion of space, medium, etc.”6 In (8b) this sense stretches to describe dealing with software, whereby COM- PUTER PROGRAMS are viewed as PHYSICAL SPACES. However, this extended sense of enter does not appear to be sufficiently distinct or conventional to be included into the dictionary, although this could happen over time.

The sentence (9a) exemplifies the basic sense of cold – “of a temperature sensibly lower than that of the living human body”, whereas cold in (9b) should be interpreted metaphorically as “void of ardour, warmth, or intensity of feeling; lacking enthusiasm, heartiness, or zeal; indifferent, apathetic”. These two senses are clearly linked via the metaphoric mapping between EMOTIONAL STATES and TEMPERATURES.

A number of metaphorical senses are included in WordNet, however without any accompanying semantic annotation.

6.2

6.2.1

Metaphor Identification Pragglejaz Procedure

Pragglejaz Group (2007) proposes a metaphor

identification procedure (MIP) within the frame-

6Sense definitions are taken from the Oxford English Dic- tionary.

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work of the Metaphor in Discourse project (Steen, 2007). The procedure involves metaphor annotation at the word level as opposed to identifying metaphorical relations (between words) or source–target domain mappings (between concepts or do- mains). In order to discriminate between the verbs used metaphorically and literally the annotators are asked to follow the guidelines:

  1. Foreachverbestablishitsmeaningincontext and try to imagine a more basic meaning of this verb on other contexts. Basic meanings normally are: (1) more concrete; (2) related to bodily action; (3) more precise (as opposed to vague); (4) historically older.
  2. If you can establish the basic meaning that is distinct from the meaning of the verb in this context, the verb is likely to be used metaphorically.

Such annotation can be viewed as a form of word sense disambiguation with an emphasis on metaphoricity.

6.2.2 Source – Target Domain Vocabulary

Another popular method that has been used to ex- tract metaphors is searching for sentences containing lexical items from the source domain, the tar- get domain, or both (Stefanowitsch, 2006). This method requires exhaustive lists of source and target domain vocabulary.

Martin (2006) conducted a corpus study in order to confirm that metaphorical expressions occur in text in contexts containing such lex- ical items. He performed his analysis on the data from the Wall Street Journal (WSJ) cor- pus and focused on four conceptual metaphors that occur with considerable regularity in the corpus. These include NUMERICAL VALUE AS LOCATION, COMMERCIAL ACTIVITY AS CONTAINER, COMMERCIAL ACTIVITY AS PATH FOLLOWING and COMMERCIAL ACTIVITY AS WAR. Martin manually compiled the lists of terms characteristic for each domain by examining sampled metaphors of these types and then augmented them through the use of thesaurus. He then searched the WSJ for sentences containing vocabulary from these lists and checked whether they contain metaphors of the above types. The goal of this study was to evaluate predictive ability of contexts containing vocabulary from (1) source domain and (2) target

domain, as well as (3) estimating the likelihood of a metaphorical expression following another metaphorical expression described by the same mapping. He obtained the most positive results for metaphors of the type NUMERICAL-VALUE- AS-LOCATION (P Metaphor Source = ààà69, P M etaphor T arget = àà6àà, P M etaphor M etaphor = àààà3).

6.3 Annotating Source and Target Domains

Wallington et al. (2003) carried out a metaphor an- notation experiment in the framework of the ATT- Meta project. They employed two teams of an- notators. Team A was asked to annotate “interesting stretches”, whereby a phrase was considered interesting if (1) its significance in the document was non-physical, (2) it could have a physical significance in another context with a similar syntactic frame, (3) this physical significance was related to the abstract one. Team B had to annotate phrases according to their own intuitive definition of metaphor. Besides metaphorical expressions Wallington et al. (2003) attempted to annotate the involved source – target domain mappings. The annotators were given a set of mappings from the Master Metaphor List and were asked to assign the most suitable ones to the examples. However, the authors do not report the level of interannotator agreement nor the coverage of the mappings in the Master Metaphor List on their data.

Shutova and Teufel (2010) adopt a different approach to the annotation of source – target domain mappings. They do not rely on predefined mappings, but instead derive independent sets of most common source and target categories. They propose a two stage procedure, whereby the metaphorical expressions are first identified using MIP, and then the source domain (where the basic sense comes from) and the target domain (the given context) are selected from the lists of cate- gories. Shutova and Teufel (2010) report interannotator agreement of0.61( ).

7 Conclusion and Future Directions

The eighties and nineties provided us with a wealth of ideas on the structure and mechanisms of the phenomenon of metaphor. The approaches formulated back then are still highly influential, although their use of hand-coded knowledge is becoming increasingly less convincing. The last decade witnessed a high technological leap in

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natural language computation, whereby manually crafted rules gradually give way to more robust corpus-based statistical methods. This is also the case for metaphor research. The latest develop- ments in the lexical acquisition technology will in the near future enable fully automated corpusbased processing of metaphor.

However, there is still a clear need in a unified metaphor annotation procedure and creation of a large publicly available metaphor corpus. Given such a resource the computational work on metaphor is likely to proceed along the following lines: (1) automatic acquisition of an extensive set of valid metaphorical associations from linguistic data via statistical pattern matching; (2) using the knowledge of these associations for metaphor recognition in the unseen unrestricted text and, finally, (3) interpretation of the identified metaphorical expressions by deriving the closest literal paraphrase (a representation that can be directly embedded in other NLP applications to enhance their performance

Besides making our thoughts more vivid and filling our communication with richer imagery, metaphors also play an important structural role in our cognition. Thus, one of the long term goals of metaphor research in NLP and AI would be to build a computational intelligence model accounting for the way metaphors organize our conceptual system, in terms of which we think and act.

Acknowledgments

I would like to thank Anna Korhonen and my reviewers for their most helpful feedback on this paper. The support of Cambridge Overseas Trust, who fully funds my studies, is gratefully acknowledged.

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